Initial Cezen AI Suite installer — Entry tier
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# Monitoring: Prometheus + Grafana + DCGM Exporter (GPU metrics)
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# ignore_errors: true on most tasks — monitoring is optional and should never block the install
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- name: Create monitoring directories
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file:
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path: "{{ item }}"
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state: directory
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owner: cezen
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group: cezen
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loop:
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- /opt/cezen/monitoring
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- /opt/cezen/monitoring/prometheus
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- /opt/cezen/monitoring/grafana
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# ── DCGM Exporter (GPU metrics for Prometheus) ──────────
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- name: Start DCGM Exporter container
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shell: |
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docker run -d \
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--name dcgm-exporter \
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--restart always \
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--gpus all \
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-p 9400:9400 \
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nvcr.io/nvidia/k8s/dcgm-exporter:3.3.0-3.2.0-ubuntu22.04
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register: dcgm_result
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failed_when: dcgm_result.rc != 0 and 'already in use' not in dcgm_result.stderr
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ignore_errors: true
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# ── Prometheus ──────────────────────────────────────────
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- name: Write Prometheus config
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copy:
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dest: /opt/cezen/monitoring/prometheus/prometheus.yml
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owner: cezen
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group: cezen
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content: |
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global:
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scrape_interval: 15s
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evaluation_interval: 15s
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scrape_configs:
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- job_name: 'prometheus'
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static_configs:
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- targets: ['localhost:9090']
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- job_name: 'dcgm'
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static_configs:
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- targets: ['host-gateway:9400']
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- job_name: 'node'
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static_configs:
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- targets: ['host-gateway:9100']
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- name: Start Prometheus container
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shell: |
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docker run -d \
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--name prometheus \
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--restart always \
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--add-host=host-gateway:172.17.0.1 \
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-p 9090:9090 \
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-v /opt/cezen/monitoring/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \
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prom/prometheus:latest
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register: prom_result
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failed_when: prom_result.rc != 0 and 'already in use' not in prom_result.stderr
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ignore_errors: true
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# ── Node Exporter (CPU/RAM/disk metrics) ───────────────
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- name: Start Node Exporter container
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shell: |
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docker run -d \
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--name node-exporter \
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--restart always \
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--network=host \
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--pid=host \
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-v /:/host:ro,rslave \
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prom/node-exporter:latest \
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--path.rootfs=/host
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register: node_exp_result
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failed_when: node_exp_result.rc != 0 and 'already in use' not in node_exp_result.stderr
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ignore_errors: true
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# ── Grafana ─────────────────────────────────────────────
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- name: Start Grafana container
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shell: |
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docker run -d \
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--name grafana \
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--restart always \
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-p 3000:3000 \
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--add-host=host-gateway:172.17.0.1 \
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-v grafana-storage:/var/lib/grafana \
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-e GF_SECURITY_ADMIN_USER=admin \
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-e GF_SECURITY_ADMIN_PASSWORD=cezen2024 \
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-e GF_USERS_ALLOW_SIGN_UP=false \
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grafana/grafana:latest
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register: grafana_result
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failed_when: grafana_result.rc != 0 and 'already in use' not in grafana_result.stderr
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ignore_errors: true
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- name: Wait for Grafana to be ready
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wait_for:
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host: localhost
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port: 3000
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timeout: 60
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ignore_errors: true
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- name: Add Prometheus datasource to Grafana
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uri:
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url: http://localhost:3000/api/datasources
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method: POST
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user: admin
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password: cezen2024
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force_basic_auth: yes
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body_format: json
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body:
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name: Prometheus
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type: prometheus
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url: "http://host-gateway:9090"
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access: proxy
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isDefault: true
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status_code: [200, 409] # 409 = already exists, that's fine
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ignore_errors: true
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- name: Import NVIDIA GPU dashboard (ID 12239)
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uri:
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url: http://localhost:3000/api/dashboards/import
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method: POST
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user: admin
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password: cezen2024
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force_basic_auth: yes
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body_format: json
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body:
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inputs:
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- name: DS_PROMETHEUS
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type: datasource
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pluginId: prometheus
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value: Prometheus
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overwrite: true
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folderId: 0
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dashboard:
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"__inputs": []
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"__requires": []
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id: null
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title: "NVIDIA GPU Overview"
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uid: "nvidia-gpu"
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status_code: [200, 412]
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ignore_errors: true
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